Loopio Inc. - Senior Machine Learning Engineer (Library)
Requirements
• Proven Expertise in Machine Learning, Language Models, and NLP • 4+ years applying ML in production with practical depth in NLP, LLM workflows, embeddings, or retrieval augmented systems. • Hands on and deep experience with transformer models, embedding based methods, and retrieval augmented techniques, prompt structured or fine tuned LLMs, for reasoning and generation tasks. • Ability to turn prototypes into stable engineering solutions that perform consistently in production environments. • System Design, Scalability, and Software Engineering Rigor • Strong proficiency in Python, modern ML frameworks such as PyTorch or TensorFlow, and API or microservice development. • Experience building scalable and reliable ML services with attention to latency, observability, testing, deployment patterns, and runtime durability. • Ability to design robust agentic components including control flow, state management, and integrations with retrieval and knowledge systems. • Business and Product Acumen • Ability to frame technical decisions in terms of customer impact, product value, and measurable improvements to workflow efficiency or answer quality. • Strong collaboration skills with cross functional partners to align priorities and drive clear, grounded execution. • Comfort operating with ownership and urgency in a fast moving environment focused on delivering meaningful outcomes. • Where You’ll Work 📍 • This is a remote-first opportunity with the advantages of working flexibly across India. • We are HQ’d in Canada, with established hub regions around the world where we hire from. Our employees (or Loopers, as we call ourselves!) live and work in 🇨🇦 Canada (British Columbia and Ontario), 🇮🇳 India (HQ in Ahmedabad), and 🇬🇧 England (London). • Our India/UK hub employees work according to the business hours stated in the job description above. This is intentionally designed to enable our global teams to have overlapping hours for collaboration. • You’ll collaborate with your teams virtually across the UK, India, and North America (we’re just a Zoom call and Slack message away!) with core sync hours and focus time for headsdown work 🙇🏾 during the workday • We encourage asynchronous collaboration to effectively work as a global #OneTeam!
Responsibilities
• Advanced Modeling & Applied Science • Build and productionize LLM and NLP models across retrieval, summarization, classification, and generative tasks by developing optimized embedding pipelines, prompt strategies, and fine tuning methods while translating experimental prototypes into robust components that consistently perform under production conditions. • Improve model accuracy, relevance, and robustness through structured evaluation frameworks, systematic error analysis, and iterative experimentation that ensures predictable behavior over time. • System Architecture & Engineering • Design and implement scalable ML services and inference pipelines in Python using modern ML frameworks, incorporating efficient serving strategies such as batching, caching, streaming, and performance tuned deployment patterns that meet latency, reliability, and throughput requirements. • Integrate models with retrieval systems, feature stores, and knowledge sources while applying strong engineering discipline in automated testing, observability, logging, and operational readiness to support durable, maintainable ML systems. • Contribute to core architectural decisions that balance modeling complexity with performance, maintainability, and long term extensibility. • Delivery, Collaboration & Leadership • Translate complex NLP and LLM product requirements into structured engineering plans with clear milestones while collaborating closely with Product, Engineering, and Applied Science partners to align expectations, remove constraints, and deliver measurable customer impact. • Participate in technical design reviews and champion improvements in ML engineering practices including deployment standards, model QA, code quality, and operational excellence while providing informal mentorship on modern NLP techniques and scalable model serving. • Demonstrate strong ownership and attention to detail by driving high quality delivery in a fast moving environment focused on reliability, clarity, and meaningful outcomes.
Benefits
• I can start immediately • I have a notice period (please expand below) • How long is your notice period? Do you have buy out options available with your employer? • Please review our privacy policy for more information. • According to the Canadian Employment Equity Act, "members of visible minorities means persons, other than Aboriginal peoples, who are non-Caucasian in race or non-white in colour." A person may be a member of a visible minority group regardless of their place of birth or citizenship. • I prefer not to answer • The following examples provided within brackets are meant to be illustrative, not exhaustive. Please select the option(s) that apply. • LGBTQ2S+ is an acronym for lesbian, gay, bisexual, transgender, queer/questioning, and Two-Spirit. The ‘+’ in LGBTQ+ signifies that the acronym is not exhaustive and includes a wide range of identities within the Queer community, such as asexual, intersex, pansexual, and others. • No (Heterosexual) • Questioning/Unsure • Gender identity is an individual’s internal and individual experience of their gender. This could include an internal sense of being a woman, a man, both or neither. One’s gender identity can be the same or different from the sex assigned at birth. Source: https://www.torontopflag.org/lgbtq2s-terms-to-know • Man (describes a person whose gender identity is man, regardless of sex assigned at birth) • Woman (describes a person whose gender identity is woman, regardless of sex assigned at birth) • Non-Binary or Gender diverse (see next question for expanded options) • Persons with disabilities, according to the Canadian Employment Equity Act, means persons who have a long-term or recurring physical, mental, sensory, psychiatric or learning impairment and who: • Consider themselves to be disadvantaged in employment by reason of that impairment • Believe that an employer or potential employer is likely to consider them to be disadvantaged in employment by reason of that impairment, and includes persons whose functional limitations owing to their impairment have been accommodated in their current job or workplace. • Yes, I have a visible physical disability and/or medical condition • Yes, I have a non-visible/invisible disability and/or medical condition • Yes, I have both a visible and non-visible disability and/or medical condition • No, I do not identify as a person with a disability • Recruiting Privacy Policy
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